Python for Data Analysis & Visualization

Learn how to analyze, clean, and visualize data using Python.
The Python for Data Analysis course is designed for anyone who wants to work with data using one of the world's most popular programming languages. Through hands-on exercises and real-world datasets, you'll learn how to collect, clean, analyze, and visualize data to uncover insights and support data-driven decision-making.
Why this program?
Learn Python for data analysis from the ground up.
Gain hands-on experience with Pandas, NumPy, Matplotlib, and Seaborn.
Develop practical skills in data cleaning, analysis, and visualization.
Learn how to work with Excel files, CSV files, databases, and APIs.
Ideal for data analysts, business analysts, students, researchers, and professionals working with data.
Program outline
Python Fundamentals
Working with Data Using Pandas
Data Cleaning & Preparation
Data Analysis with NumPy
Data Visualization
Working with Excel & CSV Files
Exploratory Data Analysis (EDA)
Data Analysis Projects
Best Practices & Automation
Final Practical Project
What you'll walk away with
A solid understanding of Python for data analysis.
Practical skills in cleaning, analyzing, and visualizing data.
Experience working with real-world datasets using popular Python libraries.
The ability to generate insights and support business decisions with data.
The confidence to apply Python in data analysis projects across different industries.

Learning Objectives
"Learn Python basics
Analyze datasets
Visualize data
Work with libraries"

Target Audience
"Data analysts
Programmers"

Skills & Competencies
"Python
Data analysis
Visualization
Problem-solving"

Prerequisites
Basic programming knowledge